{"title":"Artificial Intelligence in Value-Based Health Care.","authors":"Romil Shah, Kevin J Bozic, Prakash Jayakumar","doi":"10.1177/15563316251340074","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthopedic surgery through 3 potential mechanisms: agency, automation, and augmentation. AI may enhance patient agency through improved health literacy and remote monitoring while reducing costs through triage and reduction in specialist visits. In automation, AI optimizes operating room scheduling and streamlines administrative tasks, with documented cost savings and improved efficiency. For augmentation, AI has been shown to be accurate in diagnostic imaging interpretation and surgical planning, while enabling more precise outcome predictions and personalized treatment approaches. However, implementation faces substantial challenges, including resistance from healthcare professionals, technical barriers to data quality and privacy, and significant financial investments required for infrastructure. Success in healthcare AI integration requires careful attention to regulatory frameworks, data privacy, and clinical validation.</p>","PeriodicalId":35357,"journal":{"name":"Hss Journal","volume":" ","pages":"15563316251340074"},"PeriodicalIF":1.6000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12119536/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hss Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15563316251340074","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthopedic surgery through 3 potential mechanisms: agency, automation, and augmentation. AI may enhance patient agency through improved health literacy and remote monitoring while reducing costs through triage and reduction in specialist visits. In automation, AI optimizes operating room scheduling and streamlines administrative tasks, with documented cost savings and improved efficiency. For augmentation, AI has been shown to be accurate in diagnostic imaging interpretation and surgical planning, while enabling more precise outcome predictions and personalized treatment approaches. However, implementation faces substantial challenges, including resistance from healthcare professionals, technical barriers to data quality and privacy, and significant financial investments required for infrastructure. Success in healthcare AI integration requires careful attention to regulatory frameworks, data privacy, and clinical validation.
期刊介绍：
The HSS Journal is the Musculoskeletal Journal of Hospital for Special Surgery. The aim of the HSS Journal is to promote cutting edge research, clinical pathways, and state-of-the-art techniques that inform and facilitate the continuing education of the orthopaedic and musculoskeletal communities. HSS Journal publishes articles that offer contributions to the advancement of the knowledge of musculoskeletal diseases and encourages submission of manuscripts from all musculoskeletal disciplines.
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